Incoming intern at Ross Video on the test automation team where I will be leveraging Python, Java and Typescript

Teaching Assistant: Abstract Data Structures and Algorithms | Carleton University (January 2025 - April 2025)

Led comprehensive tutorials and maintained consistent office hours for a large cohort of 200+ students, implementing effective teaching strategies that resulted in a significant 20% improvement in overall class performance.
Provided specialized mentorship in advanced algorithms and optimization techniques to over 200 students, successfully helping them grasp complex concepts and achieve a 25% increase in assignment scores.
Facilitated hands-on debugging sessions and performance optimization workshops in Java, empowering students to improve their coding efficiency by 30% through practical problem-solving techniques.

Teaching Assistant: Introduction to Computer Science II | Carleton University (September 2024 - December 2024)

Established and maintained weekly office hours that provided targeted, individualized support to students, achieving an exceptional 90% student satisfaction rate through personalized attention and clear explanations.
Designed and delivered engaging weekly tutorials for 80+ students focusing on Java fundamentals and programming concepts, directly contributing to a 20% improvement in student performance metrics.
Demonstrated meticulous attention to detail by grading and providing constructive feedback on over 80 student exams with 100% accuracy, ensuring fair and consistent evaluation standards.

Herb (Python, QNX, Bash, Vim, Raspberry Pi)

Led a 4-person team to achieve third place at uOttaHack7 by developing Herb, an innovative disaster response solution that demonstrated practical applications in emergency scenarios.
Engineered a sophisticated remote-controlled rover by successfully integrating QNX real-time operating system with Raspberry Pi hardware architecture, creating a robust and reliable control system.
Developed and implemented advanced motion control algorithms in Python that enabled precise navigation and movement capabilities through remote control interfaces.

Learned QNX and hardware on the fly with time constraints. If you need a fast learner, I'm perfect.

RavenHaven (React.JS, Tailwind CSS, Ruby on Rails, PostgreSQL, AWS)

Architected a campus event discovery app using React.JS and Tailwind CSS to help clubs at Carleton University share and promote their events. This solution streamlined the event discovery process for the university community.
Implemented comprehensive backend APIs with Ruby on Rails and PostgreSQL to handle event data management and real-time updates, ensuring smooth data flow between the frontend and database.
Deployed the application on AWS infrastructure, utilizing EC2 for scalable hosting capabilities and RDS for reliable, managed database services to ensure optimal performance.

cuHacking | Sponsorship Coordinator and Software Developer | Carleton University (November 2024 - Present)

Revolutionized sponsorship team operations by implementing and managing a comprehensive Notion-based communication and task tracking system, resulting in a 40% reduction in response times and improved team coordination.
Led successful partnership development initiatives that secured over $30,000 in funding while simultaneously expanding the organization's visibility threefold, significantly enhancing the hackathon's presence in the tech community.
Crafted and delivered more than 5 strategic sponsorship proposals that effectively communicated value propositions, leading to the successful onboarding of 8+ new partners and strengthening the hackathon's sponsor portfolio.

Derm AI (React.JS, Tailwind CSS, Firebase, Open AI API)

- Developed an AI-powered dermatology chatbot that leverages advanced language models through the OpenAI API to provide preliminary skin condition assessments and general dermatological information to users.

- Engineered a responsive and accessible front-end interface using React.JS and Tailwind CSS, incorporating medical-focused UI components that allow users to easily describe symptoms and upload relevant images.

- Implemented secure user authentication and data storage using Firebase, ensuring sensitive medical information and chat histories are safely managed while maintaining HIPAA-compliant security standards.

Flash.AI (React.JS, HTML, Tailwind CSS, Firebase, Node.JS, Next.JS, Open AI API, Stripe API)

Created an AI-powered flashcard generator that leverages the Open AI API to automatically generate study materials, successfully attracting and maintaining a user base of over 10 active users.
Designed and implemented an intuitive front-end interface using React.JS and Tailwind CSS, focusing on scalability and user-friendly design principles to enhance the learning experience.
Built a comprehensive backend infrastructure using Firebase for data management and integrated the Stripe API for secure payment processing, ensuring a reliable and monetizable platform.

Hack The Hill | Sponsorship Coordinator and Software Developer | Carleton University (November 2023 - November 2024)

Spearheaded strategic sponsorship initiatives with Open Project that resulted in securing multiple key partnerships and generating over $60,000 in funding, significantly strengthening the hackathon's financial foundation.
Contributed to the platform's development by implementing essential features using JavaScript, HTML, and CSS, which led to a measurable 30% increase in participant engagement and improved overall user experience.
Orchestrated an extensive outreach campaign by personally initiating contact with more than 50 potential sponsors, successfully converting efforts into 5+ new strategic partnerships for Hack the Hill II, expanding the event's resource network.

Mons Terra (JavaScript, HTML, CSS)

Championed a team of 4 to first place victory at a hackathon by developing an innovative environmental rewards platform that incentivizes consumers to make eco-friendly purchasing decisions.
Led the design and implementation of a user-friendly interface using HTML and CSS that allows users to easily track their sustainable purchases and view their accumulated rewards.
Architected the core reward calculation logic using JavaScript to automatically process and award rebates based on the environmental impact of purchased products, while managing team contributions and project milestones.